AI Solutions Architect

Job Description

About Oracle FSGIU - Finergy:

The Finergy division within Oracle FSGIU is dedicated to the Banking, Financial Services, and Insurance (BFSI) sector. We offer deep industry knowledge and expertise to address the complex financial needs of our clients. With proven methodologies that accelerate deployment and personalization tools that create loyal customers, Finergy has established itself as a leading provider of end-to-end banking solutions. Our single platform for a wide range of banking services enhances operational efficiency, and our expert consulting services ensure technology aligns with our clients' business goals

Responsibilities

• Define and refine AI/ML architectures on major cloud platforms (AWS, Azure, OCI), ensuring scalability, security, and operational efficiency.
• Collaborate with clients and stakeholders to understand business challenges and advise on high-impact AI/ML and Generative AI use cases.
• Lead the design, development, and implementation of AI/ML and Generative AI solutions, emphasizing MLOps and LLMOps practices for efficient deployments.
• Incorporate Responsible AI practices, ensuring fairness, transparency, and ethical standards in all AI models.
• Advocate for Explainable AI techniques to enhance transparency and interpretability in AI/ML and Generative AI solutions.
• Demonstrate deep expertise in AI/ML and Generative AI model architecture, including techniques for fine-tuning and optimizing performance.
• Collaborate with cross-functional teams to translate business requirements into production-ready AI solutions, ensuring seamless integration with existing systems.
• Oversee technical project execution, including model training, optimization, and deployment pipelines.
• Respond to RFPs and lead the execution of Proof of Concepts (PoCs) and Minimum Viable Products (MVPs).
• Stay updated on emerging AI trends, tools, and technologies, guiding the team in adopting best practices.
• Mentor and coach team members, sharing best practices in AI/ML methodologies and operational frameworks.
  
  
  

Mandatory Skills

• 12 to 15 years of experience in programming and solution development within the IT industry.
• 5+ years of hands-on experience in core AI/ML development, including advanced techniques such as deep learning, RNNs, GANs, VAEs, and Transformers.
• Proficiency in leading ML frameworks and libraries, such as TensorFlow, PyTorch, Keras, and Scikit-Learn.
• 5+ years of experience architecting AI/ML solutions on cloud platforms (AWS, Azure, OCI).
• Strong expertise in Generative AI technologies, including LLMs, prompt engineering, and APIs (OpenAI, Hugging Face).
• Hands-on experience delivering at least one significant Generative AI use case in real-world production environments.
• Familiarity with AI algorithms and techniques, including NLP, computer vision, and cognitive services.
  
  
  

Good To Have Skills

• Master’s degree or certifications in AI/ML.
• Prior experience in the Banking or Financial Services domain with industry-specific AI/ML applications.
• Deep understanding of Responsible AI and Explainable AI frameworks.
• Excellent communication and presentation skills, with the ability to convey complex AI concepts to diverse stakeholders.
• Strong problem-solving skills and a proven ability to address complex AI/ML challenges.
  
  
  

Self Test Questions

If this role interests you, ask yourself the below question to check if you meet the minimum qualifications to apply.

• Do I have at least 5 years of hands-on experience in developing AI/ML solutions, including deep learning and generative AI, with expertise in frameworks like TensorFlow, PyTorch, or Scikit-Learn?"
• Am I proficient in architecting and deploying AI solutions on cloud platforms such as AWS, Azure, or OCI, with a minimum of 5 years of relevant experience?"
• Have I successfully designed and implemented at least one real-world generative AI use case, showcasing expertise in technologies like LLMs, GANs, or transformers?"
• Can I confidently demonstrate knowledge of responsible AI practices and explainable AI techniques to ensure ethical, transparent, and interpretable AI/ML solutions?
• Do I have prior experience working in the banking or financial services domain, applying AI/ML technologies to address industry-specific challenges?
  
  
  

Career Level - IC4

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